| 0TBAL_P1ZDbl vs Kazuya | 12–12 | 50.00% |
| 0TBAL_P1ZDbl vs King | 18–5 | 78.26% |
| 0TBAL_P1ZDbl vs Law | 12–6 | 66.67% |
| 0TBAL_P1ZDbl vs Hwoarang | 7–11 | 38.89% |
| 0TBAL_P1ZDbl vs Jin | 6–12 | 33.33% |
| 0TBAL_P1ZDbl vs Dragunov | 10–8 | 55.56% |
| 0TBAL_P1ZDbl vs Steve | 6–9 | 40.00% |
| 0TBAL_P1ZDbl vs Clive | 11–3 | 78.57% |
| 0TBAL_P1ZDbl vs Jun | 9–3 | 75.00% |
| 0TBAL_P1ZDbl vs Xiaoyu | 5–5 | 50.00% |
| 0TBAL_P1ZDbl vs Kuma | 5–3 | 62.50% |
| 0TBAL_P1ZDbl vs Bryan | 6–1 | 85.71% |
| 0TBAL_P1ZDbl vs Reina | 5–2 | 71.43% |
| 0TBAL_P1ZDbl vs Heihachi | 5–2 | 71.43% |
| 0TBAL_P1ZDbl vs Yoshimitsu | 3–3 | 50.00% |
| 0TBAL_P1ZDbl vs Lars | 3–3 | 50.00% |
| 0TBAL_P1ZDbl vs Asuka | 4–1 | 80.00% |
| 0TBAL_P1ZDbl vs Feng | 3–2 | 60.00% |
| 0TBAL_P1ZDbl vs Claudio | 4–1 | 80.00% |
| 0TBAL_P1ZDbl vs Eddy | 3–2 | 60.00% |
| 0TBAL_P1ZDbl vs Lili | 4–0 | 100.00% |
| 0TBAL_P1ZDbl vs Leo | 4–0 | 100.00% |
| 0TBAL_P1ZDbl vs Panda | 2–2 | 50.00% |
| 0TBAL_P1ZDbl vs Victor | 3–1 | 75.00% |
| 0TBAL_P1ZDbl vs Jack-8 | 2–1 | 66.67% |
| 0TBAL_P1ZDbl vs Lee | 1–2 | 33.33% |
| 0TBAL_P1ZDbl vs Devil Jin | 0–2 | 0.00% |
| 0TBAL_P1ZDbl vs Shaheen | 0–2 | 0.00% |
| 0TBAL_P1ZDbl vs Nina | 2–0 | 100.00% |
| 0TBAL_P1ZDbl vs Alisa | 1–0 | 100.00% |
| 0TBAL_P1ZDbl vs Azucena | 0–1 | 0.00% |
| 0TBAL_P1ZDbl vs Fahkumram | 1–0 | 100.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.